AI Infrastructure
The architecture behind production AI, agents, RAG, data readiness, security and shipping from prototype to production.
7 articles
Build vs Buy vs Embed: The AI Capability Decision Framework
Should you build AI in-house, buy a vendor, or embed specialists? A framework to decide, per capability, without regret.
Elena Voss · May 14, 2026AI Agents for SaaS: Where They Pay Off (and Where They Don't)
Agentic AI is hyped and sometimes useful. Here's an honest map of where agents deliver value in SaaS, and where they fail.
Marco Reyes · May 26, 2026RAG for B2B SaaS: When Retrieval Beats Fine-Tuning
Retrieval-augmented generation grounds AI in your data without retraining. Here's when to use it.
Marco Reyes · Apr 20, 2026How to Build an AI MVP That Proves Value Fast
Skip the moonshot. Here's how to ship an AI MVP that validates value in weeks, not quarters.
Elena Voss · Apr 16, 2026AI Data Readiness: Is Your Data Ready for AI?
Most AI projects stall on data, not models. Here's how to assess and fix data readiness first.
Elena Voss · Apr 8, 2026AI Security for SaaS: The Risks You Can't Ignore
Shipping AI features introduces new attack surfaces. Here's what to secure before you launch.
Marco Reyes · Apr 4, 2026From AI Proof-of-Concept to Production: Crossing the Gap
Most AI POCs never ship. Here's why, and how to design a POC that actually reaches production.
Elena Voss · Mar 23, 2026The Weekly Brief
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